Pages that link to "Item:Q1623424"

The following pages link to A non-parametric method to estimate the number of clusters (Q1623424):

Displaying 17 items.

• Estimating the number of clusters in a data set via the gap statistic (Q65481) (← links)
• Correlation between graphs with an application to brain network analysis (Q126082) (← links)
• A procedure for estimating the number of clusters in logistic regression clustering (Q265316) (← links)
• CLUES: a non-parametric clustering method based on local shrinking (Q1020816) (← links)
• A note on nonparametric estimation for clustered data (Q1771444) (← links)
• Estimating the number of clusters in a ranking data context (Q2055574) (← links)
• Determine the number of clusters by data augmentation (Q2161184) (← links)
• Estimating the number of clusters via a corrected clustering instability (Q2228237) (← links)
• A new nonparametric interpoint distance-based measure for assessment of clustering (Q3390607) (← links)
• Estimating the Number of Clusters Using Cross-Validation (Q3391464) (← links)
• A Hierarchical Method for Determining the Number of Clusters (Q3406303) (← links)
• A method of open cluster membership determination (Q3410245) (← links)
• (Q3498630) (← links)
• Estimating the number of clusters (Q4521145) (← links)
• Poisson Kernel-Based Clustering on the Sphere: Convergence Properties, Identifiability, and a Method of Sampling (Q5066746) (← links)
• Determining the Number of Clusters Using the Weighted Gap Statistic (Q5449900) (← links)
• A Doubly Enhanced EM Algorithm for Model-Based Tensor Clustering (Q6110724) (← links)